THE POTENTIAL OF AI IN B2B E-COMMERCE: A STRUCTURED LITERATURE REVIEW

Publikation: KonferenzbeitragPapierBegutachtung

Abstract

Unlike B2C E-Commerce, the exploration of E-Commerce in the B2B domain has not been as extensive, although B2B business models are expanding, and the number of purely online transactions is steadily increasing. The following application areas highlight the potential of Artificial Intelligence (AI) in B2B commerce for enhancing efficiency and improving the customer experience. Personalization enables individual product recommendations and tailored offers. AI analyzes data to predict customer needs and provide recommendations while automating repetitive tasks such as order processing and customer support. AI-powered systems assist customers in product search and ordering, and aid in dynamic pricing to maximize revenue. This paper summarizes the existing literature through a structured literature review in the context of B2B E-Commerce.
OriginalspracheDeutsch (Österreich)
Seitenumfang20
PublikationsstatusVeröffentlicht - 23 Okt. 2023
Veranstaltung22nd International Conference Economy & Business - Burgas, Bulgarien
Dauer: 20 Aug. 202323 Aug. 2023
Konferenznummer: ISSN 1314-7242
https://www.sciencebg.net/en/conferences/economy-and-business/?ref=isp

Konferenz

Konferenz22nd International Conference Economy & Business
KurztitelEconomy & Business
Land/GebietBulgarien
OrtBurgas
Zeitraum20.08.202323.08.2023
Internetadresse

Schlagwörter

  • Artificial Intelligence
  • Machine Learning
  • E-Commerce
  • Electronic-Commerce
  • Business-to-Business
  • B2B

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